Publications des scientifiques de l'IRD

Chapuis K., Taillandier P., Renaud M., Drogoul Alexis. (2018). Gen*: a generic toolkit to generate spatially explicit synthetic populations. International Journal of Geographical Information Science, 32 (6), p. 1194-1210. ISSN 1365-8816.

Titre du document
Gen*: a generic toolkit to generate spatially explicit synthetic populations
Année de publication
2018
Type de document
Article référencé dans le Web of Science WOS:000430849600006
Auteurs
Chapuis K., Taillandier P., Renaud M., Drogoul Alexis
Source
International Journal of Geographical Information Science, 2018, 32 (6), p. 1194-1210 ISSN 1365-8816
Agent-based models tend to integrate more and more data that can deeply impact their outcomes. Among these data, the ones that deal with agent attributes and localization are particularly important, but are very difficult to collect. In order to tackle this issue, we propose a complete generic toolkit called Gen* dedicated to generating spatially explicit synthetic populations from global (census and GIS) data. This article focuses on the localization methods provided by Gen* that are based on regression, geometrical constraints and spatial distributions. The toolkit is applied for a case study concerning the generation of the population of Rouen (France) and shows the capabilities of Gen* regarding population spatialization.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Démographie [108] ; Télédétection [126]
Localisation
Fonds IRD [F B010072823]
Identifiant IRD
fdi:010072823
Contact